Kasai, Jungo

Selective annotation makes language models better few-shot learners

Su, H., Kasai, J., Wu, C. H., Shi, W., Wang, T., Xin, J., Zhang, R., Ostendorf, M., Zettlemoyer, L., Smith, N. A., et al. (2022) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 70

Large Language Models as Tax Attorneys: A Case Study in Legal Capabilities Emergence

Nay, J. J., Karamardian, D., Lawsky, S. B., Tao, W., Bhat, M., Jain, R., Lee, A. T., Choi, J. H., & Kasai, J. (2023) · arXiv

Artificial Intelligence in LawTopic Modeling

Cited by 38

FOLIO: Natural Language Reasoning with First-Order Logic

Han, S., Schoelkopf, H., Zhao, Y., Qi, Z., Riddell, M., Zhou, W., Coady, J., Peng, D., Qiao, Y., Benson, L., et al. (2022) · arXiv

Topic ModelingLogic, Reasoning, and Knowledge

Cited by 35

BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting

Yong, Z. X., Schoelkopf, H., Muennighoff, N., Aji, A. F., Adelani, D. I., Almubarak, K., Bari, M. S., Sutawika, L., Kasai, J., Baruwa, A., et al. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 30

Understanding Commonsense Inference Aptitude of Deep Contextual Representations

Da, J., & Kasai, J. (2019) · Proceedings of the First Workshop on Commonsense Inference in Natural Language Processing

Topic ModelingMultimodal Machine Learning Applications

Cited by 22

Evaluating Spatial Understanding of Large Language Models

Yamada, Y., Bao, Y., Lampinen, A. K., Kasai, J., & Yildirim, I. (2023) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 8

BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting

Yong, Z.-X., Schoelkopf, H., Muennighoff, N., Aji, A. F., Adelani, D. I., Almubarak, K., Bari, M. S., Sutawika, L., Kasai, J., Baruwa, A., et al. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2